WTA · Right-handed · 6 charted matches · 2011–2015
Klara Koukalova
Against an average opponent
Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.
Shot expected value
The share of points Klara Koukalova goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 139 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 31% | 46.9%±10.3 | 52.7% |
| FH through the middle | 21% | 37.0%±11.3 | 45.8% |
| BH crosscourt | 13% | 42.6%±13.2 | 50.9% |
| FH down the line | 12% | 55.3%±13.4 | 52.2% |
| BH down the line | 12% | 67.6%±12.7 | 50.0% |
| BH through the middle | 11% | 37.8%±13.5 | 46.2% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 120 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 54% | 45.1%±8.9 | 46.7% |
| FH down the line | 25% | 44.0%±11.5 | 44.9% |
| FH through the middle | 21% | 38.4%±11.9 | 41.3% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 114 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 49% | 54.6%±9.4 | 47.6% |
| BH through the middle | 24% | 39.7%±11.7 | 43.3% |
| BH down the line | 13% | 41.0%±13.7 | 46.8% |
Return +1: drive to your middle
position worth 50% to the average player · 98 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 36% | 59.0%±10.9 | 52.3% |
| FH through the middle | 22% | 46.0%±12.7 | 46.5% |
| BH crosscourt | 12% | 41.1%±14.3 | 50.8% |
| FH down the line | 11% | 53.5%±14.7 | 53.0% |
Serve under pressure
Pressure predictability index −5 How much less varied Klara Koukalova's first-serve direction gets on break points. Positive means easier to read. Based on 61 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 47% | 35% ▼ | 56% / 66% |
| Body | 26% | 35% ▲ | 51% / 57% |
| T | 27% | 29% | 50% / 68% |
172 normal · 17 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 14% | 14% | 57% / 66% |
| Body | 22% | 27% | 52% / 56% |
| T | 64% | 59% | 65% / 64% |
129 normal · 44 break-point 1st serves
Is the serve mix in equilibrium?
Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. A direction loses 0.19 points per 100 serves for every 10 points of habitual usage, measured from WTA servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.
Deuce court
| 1st serve | Usage | Points won |
|---|---|---|
| Wide | 46% | 41.8%±7.5 n=87 |
| Body | 27% | 45.4%±9.1 n=51 |
| T | 27% | 34.6%±8.7 n=51 |
Consistent with an optimal mix (p = 0.16).
Ad court
| 1st serve | Usage | Points won |
|---|---|---|
| Wide | 14% | 47.2%±11.2 n=24 |
| Body | 23% | 47.7%±9.8 n=40 |
| T | 63% | 55.0%±6.9 n=109 |
Consistent with an optimal mix (p = 0.28).
Repeating the previous direction to the same court: −2.5±6.3 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (139 repeats, 211 switches.)
Return by serve direction
Return points won against each serve direction, compared with the tour average.
| Serve | Court | Direction | Points | Won | vs tour | |
|---|---|---|---|---|---|---|
| 1st | Ad court | Body | 26 | 38% | −6.1±10.7 | |
| 1st | Ad court | T | 40 | 41% | +5.4±9.7 | |
| 1st | Ad court | Wide | 40 | 33% | −1.1±9.3 | |
| 1st | Deuce court | Body | 31 | 41% | −2.0±10.3 | |
| 1st | Deuce court | T | 36 | 31% | −0.9±9.4 | |
| 1st | Deuce court | Wide | 59 | 37% | +3.3±8.4 | |
| 2nd | Ad court | Body | 30 | 53% | −2.5±10.6 | |
| 2nd | Ad court | T | 7 | 55% | +0.4±13.4 | |
| 2nd | Ad court | Wide | 35 | 63% | +9.6±9.8 | |
| 2nd | Deuce court | Body | 28 | 56% | +1.3±10.7 | |
| 2nd | Deuce court | T | 30 | 55% | −1.3±10.6 | |
| 2nd | Deuce court | Wide | 13 | 58% | +4.7±12.4 |
Signature patterns
Recurring sequences that win more than Klara Koukalova's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Not enough data
Return
- Not enough data
Rally, consecutive own shots
- BH down the line → FH crosscourt used 8.8% · won 48% · +5.0±11.5 vs own baseline
- FH crosscourt → FH crosscourt used 12.8% · won 45% · +2.1±10.3 vs own baseline
- FH crosscourt → BH crosscourt used 11.2% · won 45% · +1.8±10.7 vs own baseline
- FH crosscourt → FH down the line used 10.8% · won 44% · +0.8±10.8 vs own baseline
- FH through the middle → FH crosscourt used 9.6% · won 42% · −0.5±11.1 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Klara Koukalova wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- BH down the line → FH crosscourt → FH crosscourt used 1.5% · won 49% · +6.6±13.1 vs own baseline · +12.1 vs tour on the same sequence Disrupted by Tsvetana Pironkova (4/8)
- FH crosscourt → FH down the line → BH crosscourt used 2.0% · won 46% · +3.4±12.2 vs own baseline · +0.2 vs tour on the same sequence Disrupted by Serena Williams (2/6), Tsvetana Pironkova (3/8)
- BH crosscourt → BH crosscourt → BH crosscourt used 1.9% · won 45% · +2.1±12.4 vs own baseline · −1.3 vs tour on the same sequence Disrupted by Tsvetana Pironkova (4/7)
- FH crosscourt → FH crosscourt → FH crosscourt used 2.9% · won 44% · +1.3±11.1 vs own baseline · −3.4 vs tour on the same sequence Disrupted by Tsvetana Pironkova (2/6), Jarmila Gajdosova (3/6)
- FH crosscourt → FH crosscourt → FH down the line used 2.0% · won 44% · +1.2±12.2 vs own baseline · −2.7 vs tour on the same sequence
- BH crosscourt → BH through the middle → FH crosscourt used 1.6% · won 36% · −6.8±12.4 vs own baseline · −28.9 vs tour on the same sequence
Strengths and vulnerabilities
Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.
Hurts opponents most with
| FH to their forehand · rally | −0.7 | 161 |
Most exposed to
| FH to their forehand · rally | +0.5 | 137 |
Active players who are best at the shot in the top weakness: Linda Fruhvirtova, Maja Chwalinska, Sara Sorribes Tormo, Linda Klimovicova, Nadia Podoroska
Charted matches
- Kurumi Nara v Klara Koukalova L Hobart R32 · Hard · 11 Jan 2015
- Garbine Muguruza v Klara Koukalova L Hobart F · Hard · 10 Jan 2014
- Serena Williams v Klara Koukalova L Bastad SF · Clay · 18 Jul 2013
- Timea Babos v Klara Koukalova W Hobart R32 · Hard · 7 Jan 2013
- Tsvetana Pironkova v Klara Koukalova L Hobart R16 · Hard · 7 Jan 2013
- Klara Koukalova v Jarmila Gajdosova L Hobart SF · Hard · 14 Jan 2011